• 제목/요약/키워드: Organizational Technical Support

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Directions of the Activation of the Development of a Small Innovative Enterprise

  • Antypenko, Nadiia;Dongcheng, Wang;Lysenko, Zhanna;Krasnonosova, Olena;Grynevych, Liudmyla
    • International Journal of Computer Science & Network Security
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    • 제21권12spc호
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    • pp.495-502
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    • 2021
  • The study is devoted to substantiation of directions of intensification of development of small innovative enterprise, which has a significant impact on the overall innovation activity of the country and promotes innovative development, transition to more advanced technological systems. The outlined role of small business in innovative development in the direction of intensifying innovation in the economy, improving organization and production, as well as in the form of direct participation in the innovation process, production of science-intensive products, stimulating demand for innovation. A group of factors hindering the development of small innovative entrepreneurship was identified, including: financial aspects of the activity, shortcomings of organizational and communicative nature, underdeveloped technology market, information plan problems, internal production problems of small business, market problems. The directions of intensification of the development of small innovative entrepreneurship are substantiated, namely: financial and credit support of small innovative entrepreneurship; introduction of tax incentives; material and technical support; nationwide intensification of innovation activity; information support; development of innovation infrastructure. The involvement of the outlined directions of intensification of small innovative entrepreneurship will help to obtain a synergistic effect of innovative development of both small innovative business structures and the economy as a whole.

Revised IPA 기법을 활용한 국내 중소제조업의 산업혁신운동에 영향을 미치는 요인규명 (Identification of Factors Affecting Industrial Innovation Movement of SME's Using Revised IPA Technique)

  • 구일섭
    • 대한안전경영과학회지
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    • 제21권3호
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    • pp.1-9
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    • 2019
  • The Industrial Innovation Movement, based on win-win cooperation with SMEs, is a structure that enables suppliers who have struggled with corporate growth through productivity innovation due to poor manufacturing environment and lack of innovation. To this end, consultants and technical experts will support production innovation activities to improve production methods and improve productivity through process and management consulting. The purpose of this study was to explore the driving factors of the industrial innovation movement to improve the corporate ecosystem by improving the productivity of SMEs using modified IPA. The research results are as follows. First, in order to revitalize the Industrial Innovation Movement, the CEO-related elements of the participating companies should be maintained and strengthened. The motivation, education support, innovation organizational culture, the establishment of an innovation promotion system requires centralization of efforts for improvement. Second, in order to revitalize the Industrial Innovation Movement, the consultant's ability to analyze problems and suggest alternatives should be continuously strengthened. Third, in terms of the Central Promotion Headquarters, it was found that the Industrial Innovation Movement would be successful if the public information, industrial inspection for benchmarking, and provision of various information to support innovation activities were urgently improved.

A Study of Successful IT Outsourcing model for SMB

  • Jeong, Seon-Phil;Kim, Yeong-Real
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.301-304
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    • 2005
  • Most of the small and medium industries rather focus on immediate problems and how to properly maintain organizational matters and existing system than the strategic and operational use of Information Technology when they deal with applications and operation of Information System. This study found out that there were few studies on IT outsourcing for small and medium companies in Korea compared to large enterprises' IT outsourcing. Most preceding studies researched the problems of partnership and technical, managerial, and economical success factors for big companies. Small and medium companies have the problems of financial difficulty, organizational scale (40.3%), shortage of manpower for system operation (24.1%), and lack of practical use of managers (8.9%). SMB firms have required support of government for their Informationalization but, we found out amount of companies (41%) not be informed or don't account on government's supporting IT of SMB programs. In addition, Range and Contents of outsourcing, Reputation of Outsourcing vendor, Reliability of maintaining were selected as CSFs of SMB IT outsourcing. While large corporation staff more considered CEO's willing and inner facts of their companies.

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지식관리시스템의 수직적 확산과 수평적 확산에 관한 실증적 연구 (The Factors Affecting Breadth and Depth of Diffusion for Knowledge Management Systems)

  • 서창교;설진영
    • 지식경영연구
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    • 제9권3호
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    • pp.77-105
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    • 2008
  • This study primarily aims at identifying what factors significantly affect the diffusion of knowledge management systems(KMS) and finding out how these identified factors can be effectively managed, especially for Korean companies. The research model is derived based on previous researches on innovation diffusion, information systems implementation, and KMS. The model is used to examine the role of determinants in influencing the extent to which KMS is diffused within organizations. Independent variables of this research are composed of technical characteristics, organizational characteristics and environmental characteristics. 'Breadth of diffusion' and 'depth of diffusion' concept are used to measure the extent of KMS diffusion which is the dependent variable of this model. The 101 companies of total 1,000 samples responded to the survey. To analyze tile results of this empirical study, we performed the multiple regression analysis. As a result, it was shown that the relative advantage, complexity, information system maturity, size, top management support, champion, competitive pressure have influences on both the breadth and the depth diffusions. On the other hand, the organizational culture, valuation and compensation, and uncertainty of environmental factors were not verified to be significant. This empirical study will provide Korean companies with insights into effective ways to diffuse the KMS and succeed in business competition.

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데이터 웨어하우징의 구현특성요인과 품질간의 관계에 관한 실증적 연구 (An Empirical Investigation of the Factors Affecting Data Warehousing Success)

  • 김병곤
    • 정보학연구
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    • 제8권3호
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    • pp.83-103
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    • 2005
  • The IT implementation literature suggests that various implementation factors play critical roles in the success of an information system; however, there is little empirical research about the implementation of data warehousing has unique characteristics that may impact the importance of factors that apply to it. in this study, a cross-sectional survey investigated a model of data warehousing success. Data warehousing managers and data suppliers from 51 organizations completed paired mail questionnaires on implementation factors and the success of the warehouse. The results from a regression analysis of the data identified relationships between the system quality and data quality factors and perceived net benefits. It was found that management support and resources help to address organizational issues that arise during warehouse implementations, resources, user participation, and highly-skilled project team members increase the likelihood that warehousing projects will finish on-time, on-budget, with the right functionality; and diverse, unstandardized source systems and poor development technology will increase the technical issues that project teams must overcome. The implementation's success with organizational and project issues, in turn, influence the system quality of the data warehouse; however, data quality is best explained by factors not included in the research model.

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부모의 지원과 조직문화, 결혼지원정책이 미혼직장인의 결혼의향에 미치는 영향 (The Effect of Parental Support, Organizational Culture, and Marriage Support Policies on the Intention of Marriage of Unmarried Workers)

  • 황인자
    • 가족자원경영과 정책
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    • 제25권1호
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    • pp.15-34
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    • 2021
  • 본 연구는 미혼직장인의 개인 관련 변인, 부모 관련 변인, 직장 관련 변인, 정책 관련 변인이 결혼의향에 미치는 영향력을 검증하기 위하여 진행하였다. 연구의 결과는 결혼의향을 상승시키기 위한 정책적·실천적 방안 마련의 기초 자료로 활용될 수 있을 것이다. 종속변수인 결혼의향은 결혼의향 인식 수준을 측정하였다. 경제자원은 월평균소득과 자산총액을 측정하였고, 부모의 지원은 주택결혼비용지원가능성 도구를 구성하여 측정하였다. 직무만족도는 김혜영, 선보영과 김상돈(2010)의 근무만족도 도구를 사용하였고, 가족친화조직문화는 Tomson, Beauvais & Lyness(1999)의 도구 중 방묘진(2004)의 연구에서 사용한 도구로 측정하였다. 결혼지원정책필요성은 김혜영 외(2010)의 도구에 '제3차 저출산·고령사회기본계획(2016-2020)'을 추가로 구성해 측정하였다. 측정도구의 적절성 확인을 위해 신뢰도와 타당도를 검증하였고, 총 480부 자료를 IBM SPSS 18.0을 사용하여 기술통계, 분산분석, 상관관계분석, 위계적 회귀분석, 중다회귀분석을 실시하였다. 첫째, 미혼직장인의 결혼의향은 중간보다 높은 수준으로 나타났다. 둘째, 미혼직장인 결혼의향의 유의미한 차이는 성별, 연령, 교육기간, 자산총액, 부채유무로 나타났고, 부모경제수준과 주택결혼비용지원가능성도 결혼의향에 유의미한 차이로 나타났다. 고용형태와 직무만족도, 가족친화조직문화에 따른 결혼 의향 차이가 유의미하게 나타났고, 정책 관련 변인에 따른 결혼의향 차이는 자금주택정책필요성과 결혼준비정책필요성으로 나타났다. 셋째, 미혼직장인의 결혼의향에 영향을 미치는 요인을 파악하기 위해 개인 관련 변인, 부모 관련 변인, 직장 관련 변인, 정책 관련 변인을 투입하여 위계적 회귀분석을 실시한 결과, 성별과 연령, 주택결혼비용지원가능성이 결혼의향에 유의미한 영향력을 나타냈고, 가족친화조직문화와 자금주택정책필요성도 유의미한 영향력으로 나타났다. 연구 결과 자금주택정책필요성이 미혼직장인의 결혼의향에 영향을 미치는 가장 큰 요인으로 밝혀졌다. 또한 부모의 주택결혼비용지원가능성과 직장의 가족친화조직문화도 미혼직장인의 결혼의향 향상에 중요한 영향 요인으로 밝혀졌다.

TOE 프레임워크와 가치기반수용모형 기반의 인공지능 신약개발 시스템 활용의도에 관한 실증 연구 (A Study on the Intention to use the Artificial Intelligence-based Drug Discovery and Development System using TOE Framework and Value-based Adoption Model)

  • 김영대;이원석;장상현;신용태
    • 한국IT서비스학회지
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    • 제20권3호
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    • pp.41-56
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    • 2021
  • New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

조직구성원의 지식통합 역량에 대한 선행 요인과 지식창출 효과에 관한 연구: 융합 지향 조직을 중심으로 (Antecedents of Employees' Knowledge Integration Capability and Its Effects on Knowledge Creation: Focused on Convergence-Oriented Organizations)

  • 홍진원;서우종
    • 지식경영연구
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    • 제15권4호
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    • pp.105-126
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    • 2014
  • Knowledge integration is becoming a primary function of improving organizational capabilities and performance in today's convergence paradigm. The knowledge integration capability of employees has increasingly been regarded as a critical source for developing new products and services. This study investigates the influential factors of employees' knowledge integration capability and its effects. A theoretical research model was developed based on the socio-technical perspective and information processing theory. The model includes teamwork quality, expertise, IT support, and knowledge complexity as the primary influential factors of employees' knowledge integration capability. A large-scale survey was conducted for gathering data (a total of 316 samples from 141 organizations) to test the proposed model. The test results of the hypotheses show that expertise and knowledge complexity are the significant influential factors of employees' knowledge integration capability, and also the capability has a positive effect on the knowledge creation performance of employees. Our findings contribute to the development of initiatives for promoting employees' knowledge integration capability, especially in knowledge intensive organizations focusing on convergence products and services.

ERP-Enterprise Resource Planning: System Selection Process and Implementation Assessment

  • Han, Sung-Wook
    • Industrial Engineering and Management Systems
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    • 제2권1호
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    • pp.45-54
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    • 2003
  • Enterprise Resource Planning(ERP) systems offer pervasive business functionality the applications encompass virtually all aspects of the business. Understanding and managing this pervasiveness will result in a successful and productive business application platform. Because of this pervasiveness, implementations have ranged from great successes to complete failures. This article has two distinctive parts. The first proposes and discusses a systematic process based on consulting experiences of LG CNS (leading information system company in Korea) for ERP selection. Also, the second provides the key factors that are critical to the successful implementation of ERP. The second part reports the results of a study carried out to assess a number of different ERP implementations in different organizations. A case study method of investigation was used, and the experiences of five Korean manufacturing companies were documented. The critical factors in the adoption of ERP are identified as: learning from the experiences of others, appointment of a process innovator, establishment of committees and project teams, training and technical support for the users, and appropriate changes to the organizational structure and managerial responsibilities.

STATISTICAL MODELLING USING DATA MINING TOOLS IN MERGERS AND ACQUISITION WITH REGARDS TO MANUFACTURE & SERVICE SECTOR

  • KALAIVANI, S.;SIVAKUMAR, K.;VIJAYARANGAM, J.
    • Journal of applied mathematics & informatics
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    • 제40권3_4호
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    • pp.563-575
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    • 2022
  • Many organizations seek statistical modelling facilitated by data analytics technologies for determining the prediction models associated with M&A (Merger and Acquisition). By combining these data analytics tool alongside with data collection approaches aids organizations towards M&A decision making, followed by achieving profitable insights as well. It promotes for better visibility, overall improvements and effective negotiation strategies for post-M&A integration. This paper explores on the impact of pre and post integration of M&A in a standard organizational setting via devising a suitable statistical model via employing techniques such as Naïve Bayes, K-nearest neighbour (KNN), and Decision Tree & Support Vector Machine (SVM).